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A Graphics Processing Unit–Based, Industrial Grade Compositional Reservoir Simulator

Journal Article · · SPE Journal
DOI:https://doi.org/10.2118/203929-pa· OSTI ID:1981028
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  1. Stone Ridge Technology
  2. Stone Ridge Technology (Corresponding author)
  3. Eni E&P
+ Show Author Affiliations

Summary

Recently, graphics processing units (GPUs) have been demonstrated to provide a significant performance benefit for black-oil reservoir simulation, as well as flash calculations that serve an important role in compositional simulation. A comprehensive approach to compositional simulation based on GPUs has yet to emerge, and the question remains as to whether the benefits observed in black-oil simulation persist with a more complex fluid description. We present a positive answer to this question through the extension of a commercial GPU-based black-oil simulator to include a compositional description based on standard cubic equations of state (EOSs). We describe the motivations for the selected nonlinear formulation, including the choice of primary variables and iteration scheme, and support for both fully implicit methods (FIMs) and adaptive implicit methods (AIMs). We then present performance results on an example sector model and simplified synthetic case designed to allow a detailed examination of runtime and memory scaling with respect to the number of hydrocarbon components and model size, as well as the number of processors. We finally show results from two complex asset models (synthetic and real) and examine performance scaling with respect to GPU generation, demonstrating that performance correlates strongly with GPU memory bandwidth.

NOTE: This paper is also published as part of the 2021 SPE Reservoir Simulation Conference Special Issue.

Research Organization:
Stone Ridge Technology, Inc., Bel Air, MD (United States)
Sponsoring Organization:
USDOE Office of Science (SC)
DOE Contract Number:
SC0015214
OSTI ID:
1981028
Journal Information:
SPE Journal, Vol. 27, Issue 01; ISSN 1086-055X
Publisher:
Society of Petroleum Engineers (SPE)
Country of Publication:
United States
Language:
English

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